×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
北京大学 [2]
湖南大学 [2]
地理科学与资源研究所 [1]
上海药物研究所 [1]
中南大学 [1]
上海大学 [1]
更多...
内容类型
期刊论文 [7]
会议论文 [1]
其他 [1]
发表日期
2019 [1]
2018 [3]
2016 [1]
2015 [2]
2008 [2]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共9条,第1-9条
帮助
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Association between exposure to a mixture of phenols, pesticides, and phthalates and obesity: Comparison of three statistical models
期刊论文
Environment International, 2019, 卷号: Vol.123, 页码: 325-336
作者:
Yuqing Zhang
;
Tianyu Dong
;
Weiyue Hu
;
Xu Wang
;
Bo Xu
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/12/13
Chemical
mixture
Weighted
quantile
sum
(WQS)
regression
Bayesian
kernel
machine
regression
(BKMR)
Obesity
Obesogen
Association between multi-pollutant mixtures pollution and daily cardiovascular mortality: An exploration of exposure-response relationship
期刊论文
ATMOSPHERIC ENVIRONMENT, 2018, 卷号: 186, 页码: 136-143
作者:
Tong, Yuanren
;
Luo, Kai
;
Li, Runkui
;
Pei, Lu
;
Li, Ang
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2019/05/23
Air pollution
Bayesian kernel machine regression
Exposure-relationship
Cardiovascular mortality
Association between exposure to a mixture of phenols, pesticides, and phthalates and obesity: Comparison of three statistical models.
期刊论文
Environment international, 2018, 卷号: Vol.123, 页码: 325-336
作者:
Zhang Yuqing
;
Dong Tianyu
;
Hu Weiyue
;
Wang Xu
;
Xu Bo
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/12/26
Bayesian
kernel
machine
regression
(BKMR)
Chemical
mixture
Obesity
Obesogen
Weighted
quantile
sum
(WQS)
regression
Association between multi-pollutant mixtures pollution and daily cardiovascular mortality: An exploration of exposure-response relationship
期刊论文
2018, 卷号: 186, 页码: 136-143
作者:
Tong, Yuanren
;
Luo, Kai
;
Li, Runkui
;
Pei, Lu
;
Li, Ang
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2020/01/03
Air pollution
Bayesian kernel machine regression
Exposure-relationship
Cardiovascular mortality
从高斯过程到高斯过程混合模型:研究与展望
其他
2016-01-01
周亚同
;
陈子一
;
马尽文
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2017/12/03
高斯过程
高斯过程混合模型
机器学习
回归预测
聚类分析
Gaussian process
mixture of Gaussian processes
machine learning
regression and prediction
clustering analysis
Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions
期刊论文
Energy Conversion and Management, 2015, 卷号: 92, 页码: 67-81
作者:
Liu, Hui*
;
Tian, Hong-Qi
;
Li, Yan-Fei
;
Zhang, Lei
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/12/03
AA
Apriori Algorithm
RBF
Radial Basis Functions
SVR
Support Vector Regression
WDF
Weibull Distribution Function
MSM
Markov Switching Model
BI
Bayesian Interface
PM
Persistent Model
AR
Auto Regressive
ANN
artificial neural networks
BSBM
Bayesian Structural Break Model
KRRM
Kernel Ridge Regression Method
ALS
Active Learning Strategies
SAA
Seasonal Adjustment Algorithm
ESM
Exponential Smoothing Method
MLP
Multilayer Perceptron
BP
Back Propagation
KSF
Kalman Short-term Filtering
NWP
Numerical Weather Prediction
GA
Genetic Algorithm
PSO
Particle Swarm Optimization
PCA
Principal Component Analysis
FAC
First-order Adaptive Coefficient
SAC
Second-order Adaptive Coefficient
BT
Bayesian Theory
SBM
Structural Break Modeling
UKF
Unscented Kalman Filter
OFM
Organizing Feature Maps
EMD
Empirical Mode Decomposition
WT
Wavelet Transform
SVM
Support Vector Machine
ARIMA
Auto Regressive Integrated Moving Average
MAS
Multiple Architecture System
MLR
Multiple Linear Regression
Adaboost
Adaptive Boosting
GD-ALR-BP
Gradient Descent with Adaptive Learning Rate Back Propagation
GDM-ALR-BP
Gradient Descent with Momentum and Adaptive Learning Rate Back Propagation
CG-BP-FR
Conjugate Gradient Back Propagation with Fletcher-Reeves Updates
BFGS
Broyden–Fletcher–Goldfarb–Shanno
Wind energy
Wind speed forecasting
Wind speed predictions
Adaboost algorithm
Neural networks
A Genetic Algorithm Based Support Vector Machine Model for Blood-Brain Barrier Penetration Prediction
期刊论文
BIOMED RESEARCH INTERNATIONAL, 2015
作者:
Zhang, Daqing
;
Xiao, Jianfeng
;
Zhou, Nannan
;
Zheng, Mingyue
;
Luo, Xiaomin
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/01/08
A Bayesian approach to support vector machines for the binary classification
期刊论文
neurocomputing, 2008
Yu, Jiangsheng
;
Cheng, Fei
;
Xiong, Huilin
;
Qu, Wanling
;
Chen, Xue-Wen
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2015/11/10
Bayesian method
Classification
Support vector machine (SVM)
Kernel
Feature space
Reversible jump Markov chain Monte Carlo (RJMCMC)
Gaussian mixture model
MASS-SPECTROMETRY DATA
OVARIAN-CANCER
PATTERN-RECOGNITION
MICROARRAY DATA
UNKNOWN NUMBER
MIXTURES
COMPONENTS
SERUM
Adaptive Spherical Gaussian Kernel for fast Relevance Vector Machine Regression
会议论文
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008-06-25
作者:
Yuan, Jin[1]
;
Yu, Tao[2]
;
Wang, Kesheng[3]
;
Liu, Xuemei[4]
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/05/06
Relevance Vector Machine (RVM)
Gaussian kernel function
Regression
Gradient descent algorithm
Bayesian evidence
©版权所有 ©2017 CSpace - Powered by
CSpace